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- W2109317756 abstract "Episodes of erratic sinus rhythm (ESR), assumed to be as a high-degree of non-respiratory sinus arrhythmia with normal p-waves, are seen on Holter recordings in the elderly and cardiac patients. ESR increases heart rate variability (HRV) and may confound its predictive value. We hypothesized that a triplet of normal-to-normal (NN) intervals represented by (N/sub 1/N/sub 2/N/sub 3/N/sub 4/) is ESR if N/sub 1/N/sub 2//N/sub 2/N/sub 3/ and N/sub 2/N/sub 3//N/sub 3/N/sub 4/ are both outliers in the distribution of NN-interval ratios. The time spent in ESR in each ten-minute segment was visually estimated using a heart-rate tachogram of NN intervals (HRTACH) and compared with the calculated values. A total of 858 ten-minute segments in six randomly selected 24-Hour recordings of older adults were examined. A qualitative test of the algorithm yielded a positive predictive value of 0.83 and a negative predictive value of 0.87 for 552 positive tests. Results suggest that the method can identify subjects with and without ESR in RR-interval files." @default.
- W2109317756 created "2016-06-24" @default.
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- W2109317756 date "2003-08-27" @default.
- W2109317756 modified "2023-09-26" @default.
- W2109317756 title "A new method to detect erratic sinus rhythm in RR-interval files generated from Holter recordings" @default.
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- W2109317756 doi "https://doi.org/10.1109/cic.2002.1166860" @default.
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